From PyTorch to the Torq™ NPU: Converting AI Models for Efficient Deployment
· 12 min read
This is a companion piece to the real-time speech recognition blog, which walked through exporting Moonshine V2 specifically. Here I want to zoom out and describe the general recipe that
torq-toolsuses to take any PyTorch model down to a.vmfbbinary that runs on the Torq T1 NPU. If you have your own model you'd like to bring to the board, this is the shape the work will take.
